SOTAVerified

Link Prediction

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

( Image credit: Inductive Representation Learning on Large Graphs )

Papers

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Showing 801–850 of 1949 papers

TitleStatusHype
DeepNC: Deep Generative Network CompletionCode0
H^2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic SpacesCode0
Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link PredictionCode0
Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?Code0
AdaGrid: Adaptive Grid Search for Link Prediction Training ObjectiveCode0
Open-Domain Contextual Link Prediction and its Complementarity with Entailment GraphsCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
Knowledge Graph Embedding with 3D Compound Geometric TransformationsCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Enhancing the Expressivity of Temporal Graph Networks through Source-Target IdentificationCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization PerspectiveCode0
Invariant Link Selector for Spatial-Temporal Out-of-Distribution ProblemCode0
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation LearningCode0
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node FeaturesCode0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial IntelligenceCode0
Inter-domain Multi-relational Link PredictionCode0
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary ProcessCode0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Inferring Networks of Substitutable and Complementary ProductsCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
End-to-End Learning on Multimodal Knowledge GraphsCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Jack the Reader -- A Machine Reading FrameworkCode0
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph RepresentationsCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
End to end learning and optimization on graphsCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
Causal Question Answering with Reinforcement LearningCode0
A Unification Framework for Euclidean and Hyperbolic Graph Neural NetworksCode0
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community InfluencesCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Quaternion Knowledge Graph EmbeddingsCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Encoding Robust Representation for Graph GenerationCode0
DINE: Dimensional Interpretability of Node EmbeddingsCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified